Titlebook: Neural Information Processing; 19th International C Tingwen Huang,Zhigang Zeng,Chi Sing Leung Conference proceedings 2012 Springer-Verlag B

建筑物的正面

書目名稱Neural Information Processing影響因子(影響力)




書目名稱Neural Information Processing影響因子(影響力)學(xué)科排名




書目名稱Neural Information Processing網(wǎng)絡(luò)公開度




書目名稱Neural Information Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Neural Information Processing被引頻次




書目名稱Neural Information Processing被引頻次學(xué)科排名




書目名稱Neural Information Processing年度引用




書目名稱Neural Information Processing年度引用學(xué)科排名




書目名稱Neural Information Processing讀者反饋




書目名稱Neural Information Processing讀者反饋學(xué)科排名

放大

Modelling Energy Use and Fuel Consumption in Wheat Production Using Indirect Factors and Artificial n based on farm conditions, farmers’ social considerations, farm operation, machinery condition and farm inputs, arable farms in Canterbury with an error margin of ±12% (± 2900 MJ/ha) and ±8% (± 5.6 l/ha), respectively.

明確

Alpha-Cells

Conference proceedings 2012lected from numerous submissions. These papers cover all major topics of theoretical research, empirical study and applications of neural information processing research. The 5 volumes represent 5 topical sections containing articles on theoretical analysis, neural modeling, algorithms, applications, as well as simulation and synthesis.

engrave

0302-9743 and LNCS 7667 constitutes the proceedings of the 19th International Conference on Neural Information Processing, ICONIP 2012, held in Doha, Qatar, in November 2012. .The 423 regular session papers presented were carefully reviewed and selected from numerous submissions. These papers cover all major

別炫耀

招致

A Gaussian Mixture Model Based System for Detection of Macula in Fundus Images detection of macular region. We evaluate the proposed technique using publicly available fundus image database MESSIDOR. The results show the validity of proposed system and are found to be competitive with previous results in the literature.

確保

indices

Assessment of Financial Risk Prediction Models with Multi-criteria Decision Making Methodsudy is carried out to evaluate the performance of ten algorithms over six real-life credit risk data sets. The results reveal that the use of a unique performance measure may lead to unreliable conclusions, whereas this situation can be overcome by the application of multi-criteria decision making techniques.

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